Method and system for multi-dimensional ability assessment and training of teenagers and children

Abstract

The invention relates to the technical field of education, and discloses a method for multi-dimensional ability assessment and training of teenagers and children, comprising the following steps: S1, data collection and preliminary assessment: collecting basic information of age, gender, past academic records and health conditions of the teenagers and children, and constructing a data file; according to age, a professional evaluation scale and test questions are used to carry out primary evaluation on multi-dimensional ability of cognition, memory, attention, learning difficulty and reading disorder, data are recorded, and standardized cognitive ability test questions are used to inspect cognitive level of children. According to the method and the system for multi-dimensional ability evaluation and training of the teenagers and children, basic information such as ages, genders, previous academic records and health conditions of the teenagers and children is comprehensively collected, professional evaluation scales and standardized cognitive ability test questions are applied, and the abilities such as cognition, memory and attention of the children are primarily evaluated from multiple dimensions.

Description

Technical Field

[0001] The present invention relates to the field of educational technology, and particularly to a method and system for multi-dimensional ability assessment and training of teenagers and children. Background Art

[0002] Multi-dimensional ability assessment refers to comprehensively and systematically assessing the abilities of teenagers and children in different fields, including but not limited to intelligence, mental toughness, emotional management, social adaptability, reaction ability, and behavioral coordination, etc.; comprehensively assessing teenagers and children in multiple dimensions such as intelligence, mental toughness, emotional management, social adaptability, and reaction ability through scientific assessment tools and methods, and formulating personalized training programs according to the assessment results to improve their comprehensive abilities.

[0003] In the growth process of teenagers and children, the development of various abilities such as cognitive ability, memory, and attention is crucial; however, there are many deficiencies in the existing methods and systems for improving the abilities of teenagers and children; the existing assessment methods are often relatively single and cannot comprehensively cover the multi-dimensional abilities of teenagers and children; at the same time, assessment and training are separated from each other, making it difficult to improve abilities targeted according to individual differences. In addition, the traditional training methods lack scientific monitoring means and cannot ensure the training effect. Therefore, a method and system for multi-dimensional ability assessment and training of teenagers and children are proposed to solve the above-mentioned problems. Summary of the Invention

[0004] (I) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides a method and system for multi-dimensional ability assessment and training of teenagers and children, which have the advantages of combining assessment and training, etc., and solve the problems that the existing assessment methods are often relatively single and cannot comprehensively cover the multi-dimensional abilities of teenagers and children; at the same time, assessment and training are separated from each other, making it difficult to improve abilities targeted according to individual differences.

[0006] (II) Technical Solutions

[0007] To achieve the above purpose of combining assessment and training, the present invention provides the following technical solutions: A method for multi-dimensional ability assessment and training of teenagers and children includes the following steps:

[0008] S1: Data collection and preliminary assessment: Collect basic information such as the age, gender, past academic performance, and health status of teenagers and children to build a data file; according to age, use professional assessment scales and test questions to conduct a preliminary assessment of multi-dimensional abilities such as cognition, memory, attention, learning difficulties, and reading disorders and record the data, and use standardized cognitive ability test questions to examine the cognitive level of children.

[0009] S2: Personalized training plan formulation: Import the evaluation data into the artificial intelligence algorithm model. The model combines the evaluation results and the individual characteristics of the child to formulate a personalized training plan and determine the training starting point and stage. For example, if a 10-year-old child's memory is at the 7-year-old level, start with the memory training content at the 7-year-old stage;

[0010] S3: Training execution and real-time monitoring: The child conducts ability training according to the training plan. At the same time, wear a wearable device. When participating in a concentration game during an attention training course, the device collects brain wave data in real time; The system continuously analyzes the brain wave data to judge the concentration and training status. Once it is found that the child's attention is not concentrated, immediately adjust the training method;

[0011] S4: Periodic evaluation and plan adjustment: After completing a stage of training, use the evaluation scale and test questions to evaluate the child's ability again, and compare the data before and after training to judge the effect; If the child reaches the corresponding stage ability level, the system automatically upgrades the training plan to enter the next stage. If not, optimize the training content of the current stage and continue training.

[0012] Preferably, the standardized cognitive ability test questions cover a variety of question types, including multiple-choice questions, fill-in-the-blank questions, graphic reasoning, arithmetic questions, and oral questions, to comprehensively evaluate the child's language comprehension, logical reasoning, and spatial perception abilities.

[0013] Preferably, the artificial intelligence algorithm model adopts a deep learning algorithm, which can continuously learn and update the evaluation data, making the generated personalized training plan more in line with the actual ability development of the child.

[0014] Preferably, the wearable device has a heart rate monitoring function, combines the brain wave data to comprehensively judge the child's training status, and when the heart rate rises abnormally and the brain wave shows inattention, the system issues a stronger reminder.

[0015] Preferably, when conducting the ability evaluation again, introduce the subjective evaluation data of parents and teachers, and combine it with the objective test data to more comprehensively and accurately judge the training effect.

[0016] A system for multi-dimensional ability evaluation and training of adolescents and children, including a data collection module, an artificial intelligence analysis module, a plan generation module, a training execution module, a wearable device monitoring module, and an evaluation module. Among them,

[0017] Data collection module: Responsible for collecting the basic information and evaluation data of children, covering age, gender, health information, and the original data of various ability evaluations, connecting to various evaluation tools (standardized test scales, online test platforms) to ensure accurate data entry;

[0018] Artificial intelligence analysis module: Used for artificial intelligence algorithms to deeply analyze the collected data and explore the advantages and disadvantages of children in various ability dimensions;

[0019] Program generation module: Used to generate personalized training programs based on the analysis results, and determine the training starting point, stage, and specific content;

[0020] Training execution module: Used to provide children with a rich variety of training content according to the training program, including attention training games, memory enhancement courses, reading skill training, and has multiple training forms (online interactive courses, offline practical activities) to meet the learning preferences of different children;

[0021] Wearable device monitoring module: Used to interact with the wearable device worn by children, receive brain wave data in real time, analyze the brain wave data in real time, judge the training status of children, and feedback the results to the training execution module and the artificial intelligence analysis module;

[0022] Evaluation module: Used to regularly evaluate children's abilities, adopt the same or similar evaluation scales and test questions as the initial evaluation to ensure the consistency and comparability of the evaluation, generate evaluation reports, intuitively display the ability changes of children before and after training, and provide a basis for adjusting the training program.

[0023] Preferably, real-time data interaction is achieved between the data collection module, the artificial intelligence analysis module, the program generation module, the training execution module, the wearable device monitoring module, and the evaluation module through data interfaces to ensure the close cooperation of all links of the system and improve the overall operation efficiency.

[0024] Preferably, the system has data encryption and backup functions, encrypts and stores children's basic information, evaluation data, and training records, and backs them up regularly to prevent data loss and leakage and ensure children's privacy and security.

[0025] Preferably, the training content in the training execution module will be regularly updated and optimized according to the training progress and feedback data of children, as well as the latest research results in the education field, so as to always maintain the scientificity and effectiveness of the training content.

[0026] (III) Beneficial effects

[0027] Compared with the prior art, the present invention provides a method and system for multi-dimensional ability evaluation and training of teenagers and children, and has the following beneficial effects:

[0028] 1. The method and system for multi-dimensional ability assessment and training of adolescents and children comprehensively collect basic information such as the age, gender, past academic performance, and health status of adolescents and children, and use professional assessment scales and standardized cognitive ability test questions to conduct an initial assessment of the abilities of children, such as cognition, memory, and attention, from multiple dimensions to ensure that the assessment results accurately reflect the current ability level of children. Then, using an artificial intelligence algorithm model, combined with the assessment results and the individual characteristics of children, a highly personalized training plan is formulated, clarifying the training starting point and stages, avoiding the "one-size-fits-all" training mode, making the training more in line with the actual abilities of children, and greatly improving the training effect.

[0029] 2. The method and system for multi-dimensional ability assessment and training of adolescents and children, during the training execution process, on the one hand, provide children with rich and diverse training contents and various training forms to meet the learning preferences of different children and stimulate learning interests; on the other hand, through wearable devices, real-time monitor brain wave and heart rate data, and adjust the training method in a timely manner according to the training status of children to ensure the efficient progress of training; at the same time, conduct stage assessments regularly, generate assessment reports by combining objective test data and the subjective evaluation data of parents and teachers, the system automatically adjusts the training plan according to the assessment results, and the training content will be updated and optimized regularly according to the training progress, feedback data, and the latest research results in the education field to ensure that the training always conforms to the children's ability development stage and continuously helps improve children's abilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a flowchart of the method for multi-dimensional ability assessment and training of adolescents and children according to the present invention;

[0031] Figure 2 is a schematic structural diagram of the system for multi-dimensional ability assessment and training of adolescents and children according to the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] Embodiment 1

[0034] Please refer to Figure 1 , a method for multi-dimensional ability assessment and training of adolescents and children, including the following steps:

[0035] S1: Data collection and preliminary assessment: Collect basic information on the age, gender, past academic performance, and health status of adolescents and children to build a data archive; Based on age, use professional assessment scales and test questions to conduct an initial assessment of multi-dimensional abilities such as cognition, memory, attention, learning difficulties, and reading disorders and record the data. Use standardized cognitive ability test questions to examine the cognitive level of children.

[0036] Specifically, in step one, comprehensive basic information of adolescents and children will be collected to build a data archive, and professional tools will be used to conduct an initial assessment of multi-dimensional abilities and record the data; Provide a comprehensive and accurate data basis for subsequent steps, help understand the current ability level of children, clarify their current situation in aspects such as cognition, memory, and attention, and provide a basis for formulating personalized training programs.

[0037] S2: Formulation of personalized training program: Import the assessment data into an artificial intelligence algorithm model. The model combines the assessment results and the individual characteristics of children to formulate a personalized training program and determine the training starting point and stage. For example, if a 10-year-old child's memory is at the 7-year-old level, start with the memory training content at the 7-year-old stage.

[0038] Specifically, in step two, the assessment data will be imported into the artificial intelligence algorithm model, and combined with the assessment results and the individual characteristics of children, a personalized training program will be generated to determine the training starting point and stage; According to the unique situation of each child, tailor a training program suitable for them to ensure the training is targeted, avoid the "one-size-fits-all" model, improve the training effect, and enable the training to start from the actual ability level of children and gradually improve their abilities.

[0039] S3: Training execution and real-time monitoring: Children conduct ability training according to the training program, and at the same time wear wearable devices. When participating in concentration games during the attention training course, the device collects brain wave data in real time; The system continuously analyzes the brain wave data to judge the concentration and training status. Once it is found that the attention is not concentrated, the training method will be adjusted immediately.

[0040] Specifically, in step three, children conduct training according to the training program, and at the same time collect brain wave data in real time through wearable devices. The system continuously analyzes the data to judge the concentration and training status and adjusts the training method in a timely manner; Ensure the effective implementation of the training, keep track of the training status of children in real time, and adjust the training method according to their concentration and training status in a timely manner to ensure that the training can continuously attract the attention of children, improve the training efficiency, and make the training more in line with the actual situation of children during the training process.

[0041] S4: Periodic Evaluation and Program Adjustment: After completing a stage of training, use the evaluation scale and test questions to evaluate the child's abilities again. Compare the data before and after training to judge the effect. If the child reaches the corresponding stage of ability level, the system automatically upgrades the training program to enter the next stage. If not, optimize the training content of the current stage and continue training.

[0042] Specifically, after completing a stage of training in Step 4, conduct an ability evaluation again, compare the data before and after training to judge the effect, and decide whether to upgrade the training program or optimize the content of the current stage according to the results. This can achieve the purpose of testing the training effect, clarifying whether the child reaches the corresponding stage of ability level, so as to adjust the training program in time. If the level is reached, enter the next stage of challenge to promote the continuous improvement of the child's abilities. If not, optimize the current content to consolidate the foundation and ensure that the training program always conforms to the progress of the child's ability development.

[0043] Embodiment 2

[0044] Please refer to Figure 2 , a system for multi-dimensional ability evaluation and training of adolescents and children, including a data collection module, an artificial intelligence analysis module, a program generation module, a training execution module, a wearable device monitoring module, and an evaluation module. Among them,

[0045] Data collection module: Responsible for collecting the basic information and evaluation data of children, covering age, gender, health information, and the original data of various ability evaluations. Connect to various evaluation tools (standardized test scales, online test platforms) to ensure accurate data entry.

[0046] Artificial intelligence analysis module: Use artificial intelligence algorithms to deeply analyze the collected data and explore the advantages and disadvantages of children in each ability dimension.

[0047] Program generation module: Generate personalized training programs according to the analysis results, and determine the training starting point, stage, and specific content.

[0048] Training execution module: Provide rich and diverse training content for children according to the training program, including attention training games, memory enhancement courses, reading skill training, and have various training forms (online interactive courses, offline practice activities) to meet the learning preferences of different children.

[0049] Wearable device monitoring module: Used to interact with the wearable device worn by the child, receive brain wave data in real time, analyze the brain wave data in real time, judge the child's training status, and feedback the results to the training execution module and the artificial intelligence analysis module.

[0050] Evaluation Module: It is used to regularly evaluate the abilities of children. The same or similar evaluation scales and test questions as those in the initial evaluation are adopted to ensure the consistency and comparability of the evaluation. An evaluation report is generated to intuitively display the ability changes of children before and after training, providing a basis for adjusting the training plan.

[0051] Specifically, the modules cooperate with each other to jointly achieve the scientific evaluation and effective training of the multi-dimensional abilities of adolescents and children, forming a complete and efficient ability improvement system.

[0052] Example 3

[0053] An example of an implementation of a method and system for multi-dimensional ability evaluation and training of adolescents and children. Taking a 10-year-old child Xiaoming as an example, it demonstrates the method and system for multi-dimensional ability evaluation and training of adolescents and children, including the following content:

[0054] 10-year-old Xiaoming shows problems of inattention and poor memory in learning. His parents bring him to the multi-dimensional ability evaluation and training institution for adolescents and children, starting the following process:

[0055] S1: Data Collection and Preliminary Evaluation - The data collection module operates

[0056] Data collection: The staff collects basic information such as Xiaoming's age, gender, past academic performance, and health status through the data collection module of the system. Part of this information is filled in and entered by the parents, and part of the past performance data is obtained from the school's online test platform to ensure the accuracy of the information.

[0057] Initial evaluation: According to Xiaoming's age, the staff selects professional evaluation scales and test questions, and conducts an initial evaluation of Xiaoming's multi-dimensional abilities of cognition, memory, attention, learning difficulties, and reading disorders through standardized cognitive ability test questions. In the graphic reasoning questions, Xiaoming can quickly find the rules, but in the oral questions, his expression is not fluent and his logic is not clear. The data collection module records and stores all evaluation data in detail.

[0058] S2: Formulation of Personalized Training Plan - The artificial intelligence analysis module and the plan generation module cooperate

[0059] In-depth data analysis: The data collection module transmits Xiaoming's evaluation data to the artificial intelligence analysis module, which uses deep learning algorithms to deeply analyze the data, discovers the advantages and disadvantages of Xiaoming in each ability dimension, and finds that Xiaoming's memory is at the 7-year-old level.

[0060] Solution Generation: The solution generation module formulates a personalized training plan based on the results of the artificial intelligence analysis module and in combination with Xiaoming's individual characteristics. It determines to start with memory training content at the 7-year-old stage, such as arranging training on memorizing simple poems, number sequences, etc., and plans the training time and intensity.

[0061] S3: Training Execution and Real-time Monitoring - The training execution module is linked with the wearable device monitoring module

[0062] Training Execution: The training execution module provides Xiaoming with a rich variety of training content according to the training plan. In the attention training course, Xiaoming participates in concentration games, which is an online interactive course form. At the same time, Xiaoming wears a wearable device with a heart rate monitoring function.

[0063] Real-time Monitoring: The wearable device monitoring module exchanges data with the wearable device Xiaoming wears, and receives brain wave data and heart rate data in real time. During a training session, the system finds that Xiaoming's brain waves show inattentiveness and his heart rate increases abnormally. The wearable device monitoring module feeds back this result to the training execution module, and the training execution module immediately adjusts the training method, changing the complex concentration game to a simpler and more interesting form to improve Xiaoming's attention.

[0064] S4: Periodic Evaluation and Solution Adjustment - The evaluation module comes into play

[0065] Re-evaluation: After completing a stage (such as 3 months) of training, the evaluation module regularly evaluates Xiaoming's abilities, using the same or similar evaluation scales and test questions as in the initial evaluation to ensure the consistency and comparability of the evaluation. At the same time, subjective evaluation data from Xiaoming's parents and teachers is introduced. The parents feedback that Xiaoming is more concentrated when doing homework at home, and the teacher evaluates that Xiaoming is more active in answering questions in class.

[0066] Solution Adjustment: The evaluation module combines objective test data with subjective evaluation data to generate an evaluation report, visually showing the changes in Xiaoming's abilities before and after training. The system determines that Xiaoming has significantly improved in terms of attention and memory and has reached the corresponding stage ability level based on the evaluation report. The solution generation module automatically upgrades the training plan and enters the next stage of more challenging training, such as increasing the amount of poem memorization and conducting more complex attention training games.

[0067] Specifically, based on the above content, it can be shown that the method and system for multi-dimensional ability evaluation and training of adolescents and children are scientific, comprehensive, and effective. In scientific evaluation, data is comprehensively collected and evaluated from multiple dimensions to ensure accurate and comprehensive results; in personalized training, data is accurately analyzed and customized solutions are tailored, with strong pertinence; in efficient training execution and monitoring, through rich forms and real-time monitoring, the training effect is guaranteed.

[0068] In summary, the method and system for multi-dimensional ability assessment and training of adolescents and children comprehensively collect basic information such as the age, gender, past academic performance, and health status of adolescents and children. By using professional assessment scales and standardized cognitive ability test questions, the abilities of children in cognition, memory, attention, etc. are initially evaluated from multiple dimensions to ensure that the assessment results accurately reflect the current ability level of children. Then, using an artificial intelligence algorithm model, combined with the assessment results and the individual characteristics of children, a highly personalized training plan is formulated, clarifying the training starting point and stages, avoiding the "one-size-fits-all" training mode, making the training more suitable for the actual abilities of children, and greatly improving the training effect.

[0069] Moreover, during the training execution process, on the one hand, rich and diverse training contents and various training forms are provided for children to meet the learning preferences of different children and stimulate learning interests; on the other hand, brain wave and heart rate data are monitored in real time through wearable devices, and the training method is adjusted in a timely manner according to the training status of children to ensure the efficient progress of training; at the same time, periodic stage evaluations are carried out, and an evaluation report is generated by combining objective test data with the subjective evaluation data of parents and teachers. The system automatically adjusts the training plan according to the evaluation results, and the training content is regularly updated and optimized according to the training progress, feedback data, and the latest research results in the education field to ensure that the training always conforms to the children's ability development stage and continuously helps improve children's abilities.

[0070] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the element.

[0071] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for multi-dimensional ability assessment and training of adolescents and children, characterized by: The following steps are involved: S1: Data collection and preliminary assessment: Collect basic information on the age, gender, past academic performance, and health status of adolescents and children, and build a data file; Based on age, professional assessment scales and test questions are used to conduct initial assessments of cognition, memory, attention, learning difficulties and dyslexia, and record data. Standardized cognitive ability test questions are used to examine children's cognitive level. S2: Development of personalized training program: The assessment data is imported into the artificial intelligence algorithm model. The model combines the assessment results with the individual characteristics of the child to develop a personalized training program and determine the starting point and stage of the training. For example, if a 10-year-old child has a memory at the level of a 7-year-old, the training program will start with the memory training content of the 7-year-old stage. S3: Training execution and real-time monitoring: Children carry out ability training according to the training plan while wearing wearable devices. When participating in concentration games in attention training courses, the device collects brain wave data in real time; the system continuously analyzes brain wave data to determine concentration and training status, and immediately adjusts the training method if it finds that the attention is not focused; S4: Staged evaluation and program adjustment: After completing a stage of training, the child's ability is evaluated again using the evaluation scale and test questions, and the data before and after training are compared to determine the effect; if the child reaches the ability level of the corresponding stage, the system automatically upgrades the training program to the next stage. If it does not meet the standard, the current stage training content is optimized and training continues.

2. A method for multi-dimensional ability assessment and training of adolescents and children according to claim 1, characterized in that: The standardized cognitive ability test covers a variety of question types, including multiple-choice questions, fill-in-the-blank questions, graphic reasoning, arithmetic questions and oral questions, to comprehensively assess children's language comprehension, logical reasoning and spatial perception abilities.

3. A method for multi-dimensional ability assessment and training of adolescents and children according to claim 1, characterized in that: The artificial intelligence algorithm model adopts a deep learning algorithm, which can continuously learn and update evaluation data, so that the generated personalized training plan is more in line with the children's actual ability development status.

4. A method for multi-dimensional ability assessment and training of adolescents and children according to claim 1, characterized in that: The wearable device has a heart rate monitoring function, which combines brain wave data to comprehensively judge the child's training status. When the heart rate rises abnormally and the brain wave shows lack of concentration, the system will issue a stronger reminder.

5. A method for multi-dimensional ability assessment and training of adolescents and children according to claim 1, characterized in that: When the ability assessment is conducted again, the subjective evaluation data of parents and teachers is introduced and combined with the objective test data to judge the training effect more comprehensively and accurately.

6. A system for multi-dimensional ability assessment and training of adolescents and children, characterized by: The system for the multi-dimensional ability assessment and training method for adolescents and children as described in any one of claims 1 to 5 comprises a data acquisition module, an artificial intelligence analysis module, a program generation module, a training execution module, a wearable device monitoring module and an evaluation module, wherein: Data collection module: responsible for collecting children's basic information and assessment data, including age, gender, health information and raw data of various ability assessments, connecting to various assessment tools (standardized test scales, online test platforms) to ensure accurate data entry; Artificial intelligence analysis module: used for artificial intelligence algorithms to conduct in-depth analysis of the collected data and explore the strengths and weaknesses of children in various ability dimensions; Program generation module: used to generate personalized training programs based on analysis results, and determine the starting point, stages, and specific content of training; Training execution module: used to provide children with rich and diverse training content according to the training plan, including attention training games, memory enhancement courses, reading skills training, and multiple training forms (online interactive courses, offline practical activities) to meet the learning preferences of different children; Wearable device monitoring module: used to interact with the wearable device worn by the child, receive brain wave data in real time, analyze the brain wave data in real time, judge the child's training status, and feed back the results to the training execution module and artificial intelligence analysis module; Assessment module: used to regularly assess children's abilities, using the same or similar assessment scales and test questions as the initial assessment to ensure consistency and comparability of the assessment, generate assessment reports, and visually display changes in children's abilities before and after training, providing a basis for adjusting training programs.

7. A system for multi-dimensional ability assessment and training of adolescents and children according to claim 6, characterized in that: The data acquisition module, artificial intelligence analysis module, solution generation module, training execution module, wearable device monitoring module and evaluation module realize real-time data interaction through a data interface, ensuring close cooperation among all links of the system and improving overall operation efficiency.

8. A system for multi-dimensional ability assessment and training of adolescents and children according to claim 6, characterized in that: The system has data encryption and backup functions, which encrypts and stores children's basic information, assessment data and training records, and backs them up regularly to prevent data loss and leakage and protect children's privacy.

9. A system for multi-dimensional ability assessment and training of adolescents and children according to claim 6, characterized in that: The training content in the training execution module will be regularly updated and optimized based on the children's training progress and feedback data, as well as the latest research results in the field of education, so as to always maintain the scientific nature and effectiveness of the training content.

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